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 neural net discrimination


HMM Speech Recognition with Neural Net Discrimination

Neural Information Processing Systems

Two approaches were explored which integrate neural net classifiers with Hidden Markov Model (HMM) speech recognizers. Both at(cid:173) tempt to improve speech pattern discrimination while retaining the temporal processing advantages of HMMs. One approach used neu(cid:173) ral nets to provide second-stage discrimination following an HMM recognizer. On a small vocabulary task, Radial Basis Function (RBF) and back-propagation neural nets reduced the error rate substantially (from 7.9% to 4.2% for the RBF classifier). In a larger vocabulary task, neural net classifiers did not reduce the error rate.